Indian ADAS
The usefulness of ADAS or advanced driver warning systems under Heterogeneous Disordered Traffic (HDT) conditions is still not well understood in scientific literature. Too many ADAS warnings can have detrimental effects on drivers’ behaviour, particularly when driving larger vehicles (like buses) under densely packed HDT conditions, like on Indian roads. This work will allow us to optimize ADAS for Indian drivers and traffic conditions, reducing driver fatigue and making the drivers more aware of their surroundings, thus improving the overall road safety of bus drivers. For BMTC (Bangalore Metropolitan Transport Corporation), this will allow them to understand the best ADAS warnings and modalities for their bus drivers.
Aditya Arvind, Rishab Sharma, Vishwajeet Pattanaik, Aravinda Reddy
Computer Vision, Generative AI, Regression, Classification
Telematics, Images, Physiological Sensors, Eye Tracking Data
Volvo Group India Private Ltd., CiSTUP, IISc